Brain MRI Research Associate - Fast Imaging

Go VCE; Charlottesville (VA); On-site; USD 80,000 - 100,000; Full time

Job summary

The University of Virginia's Department of Electrical and Computer Engineering is seeking a research associate to advance fast MRI methods for brain imaging within the CBIG. The NIH-funded project focuses on high-resolution relaxometry and MR spectroscopic imaging using machine learning, with collaboration across clinical researchers.

The appointment is one year with potential renewal; responsibilities include developing MRI pulse sequences, theory and algorithms, publishing results, and

Qualifications

• Ph.D. in electrical/biomedical engineering or applied mathematics by the start date.
• Experience in signal processing, machine learning, and MRI.
• Strong publication record in imaging or related fields.

Responsibilities

• Develop MRI pulse sequences for fast MRI
• Develop novel theory, algorithms, and demonstrate its application to MR imaging
• Publish results in high-impact journals
• Mentor graduate and undergraduate students

Skills

Signal processing

Machine learning

MRI

Education

Ph.D. in electrical engineering, biomedical engineering, or applied math

Job description

The University of Virginia's Department of Electrical and Computer Engineering is seeking a research associate to advance fast MRI methods for brain imaging within the CBIG. The NIH-funded project focuses on high-resolution relaxometry and MR spectroscopic imaging using machine learning, with collaboration across clinical researchers.

The appointment is one year with potential renewal; responsibilities include developing MRI pulse sequences, theory and algorithms, publishing results, and